Master of Applied Data Analytics

What you will study

The Master of Applied Data Analytics requires the completion of 72 units, which must consist of:

48 units from completion of the following compulsory courses:

• Data Mining OR Data Mining (Intensive)
• Data Wrangling OR Data Wrangling (intensive)
• Introduction to Social Science Methods and Types of Data
• Using Data to Answer Policy Questions and Evaluate Policy
• Regression Modelling
• Generalised Linear Models
• Graphical Data Analysis
• Introductory Statistics for Business and Finance

Six units from completion of courses from the following list:

• Relational Databases
• Introduction to Database Concepts (intensive)

Six units from completion of courses from the following list:

• Programming for Scientists
• Introduction to Programming for Data Scientists (intensive)

12 units from completion of courses from any of the following lists:

Computer Science

• Statistical Machine Learning
• Computational Methods for Network Science
• Document Analysis OR Document Analysis (intensive)
• Neural Networks, Deep Learning and Bio-inspired Computing OR Neural Networks, Deep Learning and Bio-inspired Computing (intensive)

Social Science

• Social Research Practice
• Online Research Methods
• Advanced Techniques in the Creation of Social Science Data
• Advanced Social Science Approaches to Inform Policy Development and Service Delivery

Statistical Data Analysis

• Introduction to Bayesian Data Analysis
• Principles of Mathematical Statistics
• Statistical Learning
• Applied Time Series Analysis

Entry requirements

Applicants must present one of the following:

• Bachelor degree with honours or international equivalent with a minimum GPA of 5.0/7.0.
• Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, plus at least three years of relevant work experience.

The GPA for a Bachelor program will be calculated from (i) a completed Bachelor degree using all grades and/or (ii) a completed Bachelor degree using all grades other than those from the last semester (or equivalent study period) of the Bachelor degree. The higher of the two calculations will be used as the basis for admission.

Ranking and English Language Proficiency

At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.

In line with the University's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors. Applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes. If required, ranking may further be confirmed on the basis of:

• GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes.
• And/or demonstrating higher-level English language proficiency.

Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

Contact the university for more information.

Outcomes

Learning outcomes

• Select, adapt, apply, and communicate advanced data analytics methods and techniques.
• Apply data analytics to decision making about policy, business and service delivery.
• Examine current issues in data analytics using leading-edge research and practices in the field.
• Demonstrate strong cognitive, technical, and communication skills to work independently and collaboratively to collect, process, interpret and communicate the outcomes of data analytics problems, and
• Communicate complex data analytics outcomes to diverse audiences.

Fees and FEE-HELP

Annual indicative fee in 2025: $39,925 (domestic full-fee paying place)

The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units).

A student’s annual fee may vary in accordance with:

• The number of units studied per term.
• The choice of major or specialisation.
• Choice of units.
• Credit from previous study or work experience.
• Eligibility for government-funded loans.

All students are required to pay a services and amenities fee.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.